Dwijas Vompigadda

Python · TypeScript · LangChain/LangGraph · Ollama & llama.cpp · RAG pipelines · Vector DBs · GGUF quantization · Docker · Next.js

Deep-diving agentic orchestration — LangGraph, MCP tool-calling, multi-agent patterns for local-first RAG. Also tracking the state of the art in quantized models for edge inference.

Benchmarking Q4_K_M SLMs under a strict 4GB RAM boundary — and building the agentic orchestration layer for local-first RAG (next write-up in progress).

Enterprise AI architecture work — RAG system audits, agentic workflow design, local/edge LLM deployments. Open to consulting, speaking, and open-source collaboration.